Danial Yazdani
- Artificial Intelligence top 2%
- Computational Theory and Mathematics top 1%
- Control and Systems Engineering top 10%
- Computer Networks and Communications top 10%
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Ran ChengCheng HeJürgen BrankeAlireza Sepas‐MoghaddamXin YaoMohammad Reza MeybodiBabak NasiriTrung Thành Nguyễn
- Topics
- Metaheuristic Optimization Algorithms Research (31 papers)Advanced Multi-Objective Optimization Algorithms (23 papers)Evolutionary Algorithms and Applications (19 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceIndustrial and Manufacturing Engineering
- Partner nations
- ChinaUnited KingdomIran
In The Last Decade
Danial Yazdani
34 papers receiving 884 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 639
- Computational Theory and Mathematics 502
- Control and Systems Engineering 103
- Computer Networks and Communications 99
- Industrial and Manufacturing Engineering 68
Countries citing papers authored by Danial Yazdani
This map shows the geographic impact of Danial Yazdani's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Danial Yazdani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danial Yazdani more than expected).
Fields of papers citing papers by Danial Yazdani
This network shows the impact of papers produced by Danial Yazdani. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Danial Yazdani. The network helps show where Danial Yazdani may publish in the future.
Co-authorship network of co-authors of Danial Yazdani
This figure shows the co-authorship network connecting the top 25 collaborators of Danial Yazdani. A scholar is included among the top collaborators of Danial Yazdani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Danial Yazdani. Danial Yazdani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 9 | |
| 10 | 8 | |
| 11 | 67 | |
| 12 | 182 | |
| 13 | 24 | |
| 14 | 20 | |
| 15 | 36 | |
| 16 | Optimization in Dynamic Environments Utilizing a Novel Method Based on Particle Swarm Optimization | 27 |
| 17 | 6 | |
| 18 | 8 | |
| 19 | 25 | |
| 20 | 13 |
About Danial Yazdani
Danial Yazdani is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications, having authored 37 papers that have together received 915 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (31 papers), Advanced Multi-Objective Optimization Algorithms (23 papers) and Evolutionary Algorithms and Applications (19 papers). The work is most often cited by research in Computational Theory and Mathematics (502 citations), Artificial Intelligence (639 citations) and Industrial and Manufacturing Engineering (68 citations). Danial Yazdani has collaborated with scholars based in China, United Kingdom and Iran. Frequent co-authors include Ran Cheng, Cheng He, Jürgen Branke, Alireza Sepas‐Moghaddam, Xin Yao, Mohammad Reza Meybodi, Babak Nasiri, Trung Thành Nguyễn, D. Yazdani and Mohammad Nabi Omidvar. Their work appears in journals such as IEEE Access, IEEE Transactions on Cybernetics and IEEE Transactions on Evolutionary Computation.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.